Codex manually orchestrates a multi-node AI workflow and preserves the operational evidence.
This demo shows why orchestration is more than chat:
- planning the workflow
- inspecting nodes
- assigning server and model roles
- using multiple worker lanes
- preserving failed model loads as evidence instead of hiding them
- producing a repeatable artifact
MeshClaw's role is to turn this kind of manual Codex orchestration into a repeatable, policy-aware, auditable runtime for real infrastructure.
MeshClaw Runtime / Codex / vssh / AI orchestration / multi-node workflow / evidence
